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\nCorrelation Doesn’t Equal Causation - Crash Course Statistics \n

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\n\nPublisher:\n\nCrash Course\n\n\n
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\nToday we’re going to talk about data relationships and what we can learn from them. We’ll focus on correlation, which is a measure of how two variables move together, and we’ll also introduce some useful statistical terms you’ve probably...\nToday we’re going to talk about data relationships and what we can learn from them. We’ll focus on correlation, which is a measure of how two variables move together, and we’ll also introduce some useful statistical terms you’ve probably heard of like regression coefficient, correlation coefficient (r), and r^2. But first, we’ll need to introduce a useful way to represent bivariate continuous data - the scatter plot. The scatter plot has been called “the most useful invention in the history of statistical graphics” but that doesn’t necessarily mean it can tell us everything. Just because two data sets move together doesn’t necessarily mean one CAUSES the other. This gives us one of the most important tenets of statistics: correlation does not imply causation. \n
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Resource Details

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Curator Rating
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Educator Rating
Not yet Rated
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Media Length
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11:36
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Grade
12th - Higher Ed
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Subjects
Math
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Media Type
Instructional Videos
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Source:
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\nCrash Course Statistics\n\n
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Date
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2018
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Language
English
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Audiences
For Teacher Use
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Usage Permissions
Fine Print: Educational Use
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Concepts

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height, regression line, values, data, slope, rates, calories, variables, cigarettes, relationships, statistics
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Additional Tags

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mathematics, scatter plot, positive, paper, direction, variables move, strong, today, pearson, air conditioners, equals mx, linear relationship, experiments, models, vaccination rate, lung health, science, line, correlated, regression coefficient, rate, positive correlation, important, move, correlations, maths
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Classroom Considerations

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Best For: Explaining a topic
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